Sara Silva

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University of Lisbon

Portugal

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Recent Grants

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GADgET - Online Gambling Addiction Detection

Open Date: 2019-01-01

Close Date:

Grant: Close

PREDICT - Personalized therapy for rheumatic diseases via machine learning

Open Date: 2019-01-01

Close Date:

Grant: Close

MARCODE - Desenvolvimento e Aplicação de Ferramentas Bioquímicas de Rastreamento de Produtos Comerciais Marinhos

Open Date: 2019-01-01

Close Date:

Grant: Close

BINDER - Improving Bio-Inspired Deep Learning for Radiomics

Open Date: 2018-10-01

Close Date:

Grant: Close

OPTOX - Development and validation of bio-optical ecotoxicological tests in marine phototrophs

Open Date: 2018-10-01

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Articles (18)

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Collaborators (9)

Catia Pesquita

Assistant Professor

Faculdade de Ciências da Universidade de Lisboa

PORTUGAL

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Jorge Marques da Silva

Associate Professor

Universidade de Aveiro

PORTUGAL

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Leonardo Vanneschi

Full Professor

Universidade Nova de Lisboa Instituto Superior de Estatística e Gestão de Informação

PORTUGAL

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Anabela Bernardes da Silva

Assistant Professor

University of Lisbon

PORTUGAL

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Pedro M.P. Correia

Københavns Universitet

DENMARK

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Rita Sousa

University of Mannheim

GERMANY

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Luís Paquete

Associate Professor

University of Coimbra

PORTUGAL

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José Eiras Dias

Instituto Nacional de Investigação Agrária e Veterinária

PORTUGAL

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Vanessa Fonseca

Assistant Professor

Faculdade de Ciências da Universidade de Lisboa

PORTUGAL

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Sara Silva

Research Interests

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Recent Grants

Articles (18)

Integrating elemental and total reflection X-ray spectral fingerprints with machine learning for advanced seafood traceability

Introduction to the “Best of GECCO 2023” Special Issue

Complexity, interpretability and robustness of GP-based feature engineering in remote sensing

Controlling Functional Complexity for Overfitting Reduction and Improved Interpretability in GP

Explaining protein–protein interactions with knowledge graph-based semantic similarity

Deep Learning Features Can Improve Radiomics-Based Prostate Cancer Aggressiveness Prediction

Exploring SLUG

A Comparative Study of Automated Deep Learning Segmentation Models for Prostate MRI

Supervised Biomedical Semantic Similarity

Optical time series for the separation of land cover types with similar spectral signatures: cocoa agroforest and forest

Fitness landscape analysis of convolutional neural network architectures for image classification

Comparing Machine Learning Methods for Classifying Plant Drought Stress from Leaf Reflectance Spectra in Arabidopsis thaliana

Improving Land Cover Classification Using Genetic Programming for Feature Construction

Artificial Intelligence Meets Marine Ecotoxicology: Applying Deep Learning to Bio-Optical Data from Marine Diatoms Exposed to Legacy and Emerging Contaminants

A Machine Learning Approach to Predict Air Quality in California

A Study of Generalization and Fitness Landscapes for Neuroevolution

Using Rapid Chlorophyll Fluorescence Transients to Classify Vitis Genotypes

Evolving knowledge graph similarity for supervised learning in complex biomedical domains

Collaborators (9)

Catia Pesquita

Jorge Marques da Silva

Leonardo Vanneschi

Anabela Bernardes da Silva

Pedro M.P. Correia

Rita Sousa

Luís Paquete

José Eiras Dias

Vanessa Fonseca

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